# [1]贾民平.周期平稳故障信号分析[J].东南大学学报(自然科学版),2006,36(3):346-350.[doi:10.3969/j.issn.1001-0505.2006.03.002] 　Jia Minping.Analysis of cyclostationary fault signal[J].Journal of Southeast University (Natural Science Edition),2006,36(3):346-350.[doi:10.3969/j.issn.1001-0505.2006.03.002] 点击复制 周期平稳故障信号分析() 分享到： var jiathis_config = { data_track_clickback: true };

36

2006年第3期

346-350

2006-05-20

## 文章信息/Info

Title:
Analysis of cyclostationary fault signal

Author(s):
Jia Minping
College of Mechanical Engineering, Southeast University, Nanjing 210096, China

Keywords:

TP391
DOI:
10.3969/j.issn.1001-0505.2006.03.002

Abstract:
Aiming at the characteristic of cyclostationary fault signal, the series analysis methods concerning time, frequency, time-frequency domain and statistical theory are discussed. Firstly, using the characteristic of cyclostationary signal, an ARIMA(autoregressive integrated moving average)model can be modeled and the forecast can be done. Secondly, degree of cyclostation and cyclic correlation spectrum for features extract are introduced, and an example shows that it is better than others. Thirdly, evolutionary spectrum estimation based on the wavelet analysis is given and the examples show that it is useful in fault diagnosis. Finally, time-frequency analysis is introduced for nonstationary signal scale analysis.

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## 相似文献/References:

[1]苏中元,贾民平.基于希尔伯特-黄变换周期平稳类微弱故障信号检测[J].东南大学学报(自然科学版),2006,36(3):389.[doi:10.3969/j.issn.1001-0505.2006.03.011]
Su Zhongyuan,Jia Minping.Detection of weak fault signal about cyclostationary by Hilbert-Huang transform[J].Journal of Southeast University (Natural Science Edition),2006,36(3):389.[doi:10.3969/j.issn.1001-0505.2006.03.011]